AI Data Trainer
8 hours ago
Montreal, Quebec, Canada
YO AI Labs
Remote
Full-time
US$40 - US$100 Permanent
Free with email or Google
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Senior AI Trainer
Role Type: Contractor, Remote
Location:
North America, Latin America, Europe, UK, Oceania We're seeking Senior AI Trainers to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You'll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training. No prior AI experience is required.
Key Responsibilities
• Review robotic-arm videos and identify key actions, events, and outcomes.
• Apply detailed guidelines to tag and annotate video events accurately.
• Mark precise start and end timestamps for actions, transitions, and outcomes.
• Verify annotations for timing accuracy and correct inconsistencies or drift.
• Use video annotation tools to create and submit high-quality datasets.
• Collaborate with project teams to resolve ambiguities and maintain annotation consistency.
• Participate in quality reviews and incorporate feedback to maintain standards. Required Qualifications
• Exceptional attention to detail and accuracy when reviewing visual data.
• Strong written and verbal communication skills.
• Excellent time management and ability to work independently in a remote environment.
• Analytical and problem-solving mindset. Preferred Qualifications
• Experience in video annotation, data labeling, or similar projects.
• Familiarity with video annotation and timeline-based labeling tools.
• Experience with frame-level or timecode-based annotation.
• Background in AI training, machine learning data preparation, or robotics is strongly preferred.
Location:
North America, Latin America, Europe, UK, Oceania We're seeking Senior AI Trainers to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You'll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training. No prior AI experience is required.
Key Responsibilities
• Review robotic-arm videos and identify key actions, events, and outcomes.
• Apply detailed guidelines to tag and annotate video events accurately.
• Mark precise start and end timestamps for actions, transitions, and outcomes.
• Verify annotations for timing accuracy and correct inconsistencies or drift.
• Use video annotation tools to create and submit high-quality datasets.
• Collaborate with project teams to resolve ambiguities and maintain annotation consistency.
• Participate in quality reviews and incorporate feedback to maintain standards. Required Qualifications
• Exceptional attention to detail and accuracy when reviewing visual data.
• Strong written and verbal communication skills.
• Excellent time management and ability to work independently in a remote environment.
• Analytical and problem-solving mindset. Preferred Qualifications
• Experience in video annotation, data labeling, or similar projects.
• Familiarity with video annotation and timeline-based labeling tools.
• Experience with frame-level or timecode-based annotation.
• Background in AI training, machine learning data preparation, or robotics is strongly preferred.